Cortexica - Technology

Our patent pending technology arises from reverse-engineering specific subsets of the human visual system and modelling the individual and group responses of neurons to visual stimuli, providing a powerful representation upon which we have built robust inference engines

Complex wavelet cortical key-points
Our technology uses complex adaptive wavelet transforms overlaid on parallel nVidia Graphical Processing Units (GPUs) to generate real-time cortical key-point descriptors of visual structure that are adaptable, compact and robust. These highly paralleled proprietary (patent pending) algorithms are adaptable to local stimulus patterns in real time, and employ a variety of customised wavelet constructions.

State of the art
The wavelet transforms model the spatial computation performed by biological neurons in the primary visual cortex of the vertebrate brain on a large scale. This provides state-of-the-art visual pattern recognition capabilities which are well-matched to human perceptual abilities.

Learning and predicting
Our matching technology includes a unique paralleled probabilistic computation, enabling our systems to learn.